CYBER-AWARENESS IMPROVEMENT USING ARTIFICIAL INTELLIGENCE TECHNIQUES

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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering, Engineering, Electrical & Electronic

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VOLUME 8 , ISSUE 1 (March 2015) > List of articles

CYBER-AWARENESS IMPROVEMENT USING ARTIFICIAL INTELLIGENCE TECHNIQUES

Soorena Merat / Wahab Almuhtadi

Keywords : Cyber Security, Queuing Management, Task Prioritization, Normative Model, Cyber Multitasking Performance, Non-maskable task.

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 8, Issue 1, Pages 620-636, DOI: https://doi.org/10.21307/ijssis-2017-775

License : (CC BY-NC-ND 4.0)

Received Date : 15-December-2014 / Accepted: 24-January-2015 / Published Online: 01-March-2015

ARTICLE

ABSTRACT

The primary contribution of this experiment is the development of a framework on which a variety of multitasking processes can be mapped. A software model named SHOWAN is developed to represent, capture and learn the cyber awareness behavior of a computer process against multiple concurrent threads. At the beginning of the experiment, the examined process outperformed, and tended to manage numerous tasks poorly, but it gradually learned to handle fewer tasks and excelling in each of them.

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